PYTHON Write a function that accepts a matrix A and vector b and solves the following problem minimize Ax b 2 subject to x 1 1 x 0 To test the function, use and The minimizer is approximately x 0,1,0,0 with objective value 5 099 Hint norm() is a convex function, so a different way is needed to take the 1 norm A A 1 2 1 1 0 3 2 1 b 7 4

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Question: PYTHON Write a function that accepts a matrix A and vector b and solves the following problem. minimize ||Ax-b|| 2 subject to ||x|| 1 =1

PYTHON

Write a function that accepts a matrix A and vector b and solves the following problem.

minimize ||Ax-b||₂

subject to ||x||₁ =1

x=>0

To test the function, use PYTHON Write a function that accepts a matrix A and vector b and and solves the following problem. minimize ||Ax-b||2 subject to ||x||1 =1 x=>0 The minimizer is approximately x=[0,1,0,0] with objective value 5.099. Hint: norm() is a convex function, so a different way is needed to take the 1-norm.

A= A 1 2 1 1 0 3 -2 -1 b 7 4

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